Results 1 to 10 of about 6,508 (192)
A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI
Sensors, 2022 Brain tumor analysis is essential to the timely diagnosis and effective treatment of patients. Tumor analysis is challenging because of tumor morphology factors like size, location, texture, and heteromorphic appearance in medical images. In this regard,
Mirza Mumtaz Zahoor +6 more
doaj +1 more source
Mucocele like Tumour of the Breast Associated with Ductal Carcinoma in situ and Focal Ductal Carcinoma: What is the Best Approach to these Patients? [PDF]
Journal of Clinical and Diagnostic Research, 2016 Mucocele Like Tumours (MLT) of the breast are quite rare neoplasms displaying a broad spectrum. These lesions were considered benign initially. But now, they are believed to be related to atypical ductal hyperplasia, ductal carcinoma, or mucinous ...
Serdar Altinay +3 more
doaj +1 more source
Journal of Pathology of Nepal, 2023 Background: The clinical outcome of breast carcinoma varies in each individual due to its molecular heterogeneity. There is a rising interest in whether the associated ductal carcinoma in-situ in invasive ductal carcinoma of breast affects the prognosis ...
Dhivya Balaiya +2 more
doaj +1 more source
A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images
Scientific Reports, 2021 The mitotic activity index is a key prognostic measure in tumour grading. Microscopy based detection of mitotic nuclei is a significant overhead and necessitates automation.
Anabia Sohail +4 more
doaj +1 more source
More microinvasive foci in larger tumours of breast ductal carcinoma in situ
Singapore Medical Journal, 2023 Introduction: Microinvasion (Mi) is often thought to be an interim stage between ductal carcinoma in situ (DCIS) and invasive ductal carcinoma. This study aimed to investigate the potential influence of Mi on survival and assess its correlations with ...
Xiao-Yang Chen +4 more
doaj +1 more source
Disease Models & Mechanisms, 2020 SWATH-mass spectrometry (MS) enables accurate and reproducible proteomic profiling in multiple model organisms including the mouse. Here, we present a comprehensive mouse reference spectral library (MouseRefSWATH) that permits quantification of up to 10 ...
Lukas Krasny +16 more
doaj +1 more source
Detection of Data Scarce Malware Using One-Shot Learning With Relation Network
IEEE Access, 2023 Malware has evolved to pose a major threat to information security. Efficient anti-malware software is essential in safeguarding confidential information from these threats. However, identifying malware continues to be a challenging task. Signature-based
Faiza Babar Khan +5 more
doaj +1 more source
Journal of Integrative Bioinformatics, 2020 In the field of computational biology, in order to simulate multiscale biological systems, the Cellular Potts Model (CPM) has been used, which determines the actions that simulated cells can perform by determining a hamiltonian of energy that takes into ...
Tomeu Antonio J., Salguero Alberto G.
doaj +1 more source
Modeling the natural history of ductal carcinoma in situ based on population data
Breast Cancer Research, 2020 Background The incidence of ductal carcinoma in situ (DCIS) has increased substantially since the introduction of mammography screening. Nevertheless, little is known about the natural history of preclinical DCIS in the absence of biopsy or complete ...
Sarocha Chootipongchaivat +10 more
doaj +1 more source
Unmasking the immune microecology of ductal carcinoma in situ with deep learning
npj Breast Cancer, 2021 Despite increasing evidence supporting the clinical relevance of tumour infiltrating lymphocytes (TILs) in invasive breast cancer, TIL spatial variability within ductal carcinoma in situ (DCIS) samples and its association with progression are not well ...
Priya Lakshmi Narayanan +12 more
doaj +1 more source